文献
J-GLOBAL ID:201802282190049821
整理番号:18A1432819
ω-NET(オメガ-NET):深い神経回路網による完全自動,多視点心臓MR検出,配向,およびセグメンテーション【JST・京大機械翻訳】
Ω-Net (Omega-Net): Fully automatic, multi-view cardiac MR detection, orientation, and segmentation with deep neural networks
著者 (7件):
Vigneault Davis M.
(Institute of Biomedical Engineering, Department of Engineering, University of Oxford, United Kingdom)
,
Vigneault Davis M.
(Department of Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, USA)
,
Vigneault Davis M.
(Tufts University School of Medicine, Sackler School of Graduate Biomedical Sciences, USA)
,
Xie Weidi
(Institute of Biomedical Engineering, Department of Engineering, University of Oxford, United Kingdom)
,
Ho Carolyn Y.
(Cardiovascular Division, Brigham and Women’s Hospital, USA)
,
Bluemke David A.
(School of Medicine and Public Health, University of Wisconsin-Madison, USA)
,
Noble J. Alison
(Institute of Biomedical Engineering, Department of Engineering, University of Oxford, United Kingdom)
資料名:
Medical Image Analysis
(Medical Image Analysis)
巻:
48
ページ:
95-106
発行年:
2018年
JST資料番号:
W3156A
ISSN:
1361-8415
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
オランダ (NLD)
言語:
英語 (EN)